@InProceedings{BatistaShimLawrAntu:1993:ElNiEf,
author = "Batista, Getulio Teixeira and Shimabukuro, Yosio Edemir and
Lawrence, William T. and Antunes, Mauro A. H.",
title = "El Nino effect on Amazon vegetation cover through NOAA-AVHRR",
booktitle = "Resumos...",
year = "1993",
pages = "37",
organization = "Simp{\'o}sio Latino-Americano em Percepcion Remota, 6.",
keywords = "AGRONOMIA, AMAZONIA LEGAL, INDICE DE VEGETACAO, EL NINO, COBERTURA
VEGETAL, NOAA, AVHRR, NDVI.",
abstract = "This paper shows results of an experiment that explored a
long-term temporal variation of the vegetation index NDVI
(Normalized DifferenceVegetation Index)of several vegetation
covers that occur in the Brazilian LegalAmazon. The value of NDVI
obtained from NOAA satellites, has veem shown for the estimation
of a number of ecosystem variables, such as leaf area index and
photosynthetic active absorbed radiation by the canopy, which in
turn are essential for modeling of gases, mass, and energy
exchange between the biosphere and the atmosphere, contributing
therefore, for the understanding fo global change processes. The
phenology of natural vegetation under diversi climatic conditions
due not only to seasonal variation but also episodic events sych
ENSO (El Nino Southern Oscillation)is important for the
understanting of these processes. Long-term monitoring (August
1981 to June 1991)of 8 vegetation types (Dense Forest
{"}Submontana{"} and {"}Terras Baixas{"}), open Forest
({"}Submontana{"}and {"}Terras Baixas{"}), transition Forest,
Seasonal Forest ({"}Caatinga{"}), and tow types of {"}Cerrado{"}
which occur in the northern part of Brazil (3 N-19S and 35W and
74W)is discussed. For each vegetation type, 10 samples of 3x3
pixels were selected and monthly composites of NDVI were obtained
from GAC ({"}Global Area Coverage{"})data. Yearly composites of
NDVI were obtained ro verify the inter-annual climatic variation
due to ElNino occurence. Throughout the analysis of 10 years of
data is was clearly noteced the variation on the NDVI due to
differene satellites, indicating the need for calibration of AVHRR
data for multitemporal studies. Therefore, a calibration procedure
proposed by NASA Goddard Space Flight Center and the University of
Maryland (Los, 1993)were applied to the data to make possible
quantitative comparisons of NDVI values obtained at different
times. Seasonality of {"}Cerrado{"} and especially of
{"}Caatinga{"} , is outstanding NDVI values vary from 3 to 4 times
for the {"}Cerrado{"} and {"}Caatinga{"} respectively, in extreme
years. Preserved {"}Cerrado{"}({"}parque{"})was always distinct
from Dense Forest ({"}Terra Firme{"})in any season ofany year
analyzed, however, better distinction is found during the dry
season, especially in September. A comparison between normal an El
Nino years indicated the influence of this phenomenon on the
phenology of the forest vegetation. The phenology of forest cover,
except {"}Caatinga{"} and {"}Cerrado{"} does not vary much
throughout the year, however, for El Nino years, as 1983, there is
a clear reduction in the NDVI values during the dry season,
especially for the Transition ForestThis indicates the importance
of multitemporal data for the characterization of forest
ecosystems. Dense vegetation covers showed high NDVI values
(-0,5), {"}Caatinga{"}had an average NDVI value -0,3 with large
seasonal variation, and {"}Cerrado{"}had average NDVI value -0,3
with great seasonal variation but never reaching the{"}Caatinga{"}
greeness peak (NDVI-0,5).",
conference-location = "Cartagena, CO",
conference-year = "03-08 oct. 1993",
label = "6767",
organisation = "SELPER",
targetfile = "Batista_el nino.pdf",
urlaccessdate = "02 maio 2024"
}